We combine real-time predictive analysis with algorithmically managed copy-trading strategies, so that income diversification does not depend on hours in front of a screen or market intuition.
Illustrative representation of the interface. Actual values vary depending on strategy and market conditions.
Each market session generates signals that come from prices, volume, news and institutional activity, dispersed in different formats and speeds. Identifying profitable patterns among that noise, consistently and without bias, is a task that exceeds the available time of a professional with other responsibilities. Recent volatility has also shortened the window in which a decision remains useful.
The platform is supported by three technical layers that work in a coordinated manner, from reading the data to the replicated execution of the strategy.
Networks trained on extensive time series that detect non-linear relationships between market variables, updating as new data arrives.
Each signal is filtered by exposure rules and defined loss limits before being converted into a replicable trade, reducing reliance on discretionary decisions.
Natural language processing applied to public sources of news and communications, incorporated as an additional variable within the predictive model.
Each recommendation is traceable: the path from the raw data to the final operation can be followed.
Prices, volume, macroeconomic indicators and news are collected continuously from multiple sources.
Deep learning models identify relevant patterns and correlations in already normalized data.
Signals are adjusted according to previously defined risk parameters and performance objectives.
The optimized strategy is replicated through copy-trading, without manual intervention at the time of the operation.
The operational panel summarizes three indicators that we use to evaluate the behavior of a strategy: how much the loss is contained in the face of adverse periods, how accurately the movements are anticipated and how long it takes for the replica to be executed once the signal is issued.
The values you see below correspond to an example interface. The actual performance of each strategy is communicated individually within the platform as it varies depending on the asset and market conditions.
Illustrative panel. Real-time data is displayed within each user's account.
Those who use Limpio Activián usually combine a stable job with the intention of diversifying their income, without being able to spend their days following charts or studying markets in depth. Copy-trading solves this distance: the strategy is executed with the same discipline, whether you are available or not at that moment.
You can review the available strategies, their risk parameters and their performance before deciding whether to activate them. No commitment is required to explore the platform.